This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role offers the opportunity to lead and execute advanced industrial control systems projects within a high-tech automation environment. The Senior Industrial Controls Engineer will drive the design, programming, and implementation of PLC, HMI, and drive-based systems, collaborating with cross-functional teams and mentoring junior engineers. You will own technical solutions end-to-end, from requirement validation and system design to testing, troubleshooting, and deployment, ensuring high reliability and compliance with customer standards. This position involves frequent interaction with internal stakeholders and customers, both on-site and remotely, and includes leadership in process improvement initiatives. The ideal candidate is highly autonomous, proactive, and experienced in complex automated system design and integration. - Lead the design, programming, and implementation of industrial control systems, including PLCs, HMIs, and AC/DC drives. - Develop and execute test strategies, generate reports, and ensure compliance with technical requirements. - Troubleshoot complex automation systems, perform root cause analysis, and provide effective solutions. - Document system configurations, functionalities, and team processes for technical transparency and knowledge sharing. - Collaborate with cross-functional teams and customers to gather requirements and validate technical solutions. - Coach, mentor, and supervise junior engineers, promoting best practices in industrial control engineering. - Support site implementations, release management, and process improvement initiatives across multiple locations. Qualifications - Bachelor’s degree in Electrical Engineering, Controls Engineering, Automation, Computer Science, or a related discipline. - Minimum of 8 years’ experience designing and implementing industrial control systems, including PLCs, HMIs, and drives. - Advanced experience programming Rockwell PLCs (ControlLogix, GuardLogix) and developing HMIs (Ignition 8, FactoryTalk ME/SE). - Knowledge of AC/DC drive control architecture, industrial networks, and electrical/mechanical schematics. - Strong troubleshooting skills and experience in automated systems engineering. - Leadership experience, including team organization, task prioritization, and mentorship. - Familiarity with JIRA, Agile methodology, and knowledge of Rockwell and Inductive Automation products is a plus. - Willingness to travel approximately 40% to customer locations in the U.S. and Canada. Benefits - Competitive base salary range of $120,000 – $165,000, depending on experience and location. - Comprehensive medical, dental, and vision coverage. - Disability and life insurance. - 401(k) retirement plan with company contributions. - Paid time off and flexible vacation policies. - Opportunities for professional development and career growth. - Remote work options and collaborative work environment.

Cresta is on a mission to turn every customer conversation into a competitive advantage by unlocking the true potential of the contact center. Our platform combines the best of AI and human intelligence to help contact centers discover customer insights and behavioral best practices, automate conversations and inefficient processes, and empower every team member to work smarter and faster. Born from the prestigious Stanford AI lab, Cresta's co-founder and chairman is Sebastian Thrun, the genius behind Google X, Waymo, Udacity, and more. Our leadership also includes CEO, Ping Wu, the co-founder of Google Contact Center AI and Vertex AI platform, and co-founder, Tim Shi, an early member of Open AI. Join us on this thrilling journey to revolutionize the workforce with AI. The future of work is here, and it's at Cresta. About the role: Machine Learning Engineers at Cresta work across several high-impact AI initiatives. Final team placement is determined based on experience, strengths, and business needs. Current focus areas include: - Agentic Assist: Lead and build next-generation agentic AI systems that augment contact center agents in real time. This track requires strong pre-LLM ML foundations, deep expertise in LLMs and modern prompting techniques, a rapid prototyping mindset, and a proven ability to translate cutting-edge research into scalable, production-grade systems. - Agent & System Quality: Design evaluation frameworks and improve the reliability, robustness, and performance of LLM-powered agents. This includes diagnosing and mitigating failure modes such as hallucinations, retrieval errors, tool misuse, context drift, prompt brittleness, and multi-step reasoning breakdowns, while defining measurable quality metrics (e.g., accuracy, faithfulness, task completion, latency, and cost) for complex, non-deterministic systems. - Insights: Architect and scale LLM and retrieval-augmented generation pipelines that ground models in enterprise data. This track focuses on building high-performance ML systems that process complex data, extract structured insights, and deliver real-time, actionable intelligence at scale. Responsibilities: - Define and lead the technical vision for Cresta’s next-generation Agentic AI systems, including Agentic Assist and enterprise AI Agents. - Architect scalable, production-grade LLM systems that integrate reasoning, retrieval, planning, tool use, and real-time decision-making into cohesive, intelligent workflows. - Design and evolve multi-agent orchestration frameworks that combine RAG, structured knowledge, domain-adapted models, and automated actions. - Establish best practices for building robust, reliable, and cost-efficient LLM-powered systems in high-scale production environments. - Own evaluation strategy for complex, non-deterministic AI systems, including offline benchmarking, online experimentation, LLM-as-a-judge methodologies, and systematic failure analysis. - Proactively identify and mitigate agent failure modes such as hallucinations, tool misuse, retrieval errors, prompt brittleness, context drift, and multi-step reasoning breakdowns. - Define measurable quality standards (accuracy, faithfulness, task completion, latency, cost efficiency, robustness) and drive continuous system improvement. - Influence cross-team architecture decisions across ML, backend, and product engineering to ensure seamless integration of AI capabilities. - Mentor senior engineers, raise the technical bar, and contribute to long-term AI strategy and roadmap planning. - Translate cutting-edge research advances into practical, high-impact production systems. Qualifications We Value: - Bachelor’s degree in Computer Science, Mathematics, or a related field; Master’s or Ph.D. strongly preferred. - 7+ years of experience building and deploying machine learning systems in production, including deep hands-on experience with LLMs at scale. - Demonstrated leadership in architecting complex AI systems, particularly agentic or multi-step LLM workflows. - Deep expertise in transformer-based models, embeddings, retrieval systems, and Retrieval-Augmented Generation (RAG) pipelines. - Experience designing evaluation frameworks for LLM systems beyond single-turn prompts, including robustness testing and production monitoring. - Strong systems thinking: ability to design for scalability, latency constraints, cost efficiency, security, and long-term maintainability. - Extensive experience with modern ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) and distributed/cloud-based infrastructure. - Proven ability to influence technical direction across teams as a senior individual contributor. - A strong bias toward action — able to prototype rapidly while maintaining production rigor. Perks & Benefits: We offer a comprehensive and people-first benefits package to support you at work and in life: - Comprehensive medical, dental, and vision coverage with plans to fit you and your family - Flexible PTO to take the time you need, when you need it - Paid parental leave for all new parents welcoming a new child - Retirement savings plan to help you plan for the future - Remote work setup budget to help you create a productive home office - Monthly wellness and communication stipend to keep you connected and balanced - In-office meal program and commuter benefits provided for onsite employees Compensation at Cresta: Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table. The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family. OTE Range: $230,000–$300,000 + Offers Equity

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Kamiwaza is seeking a Senior Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers. - Design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. - Play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production. - Ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure. Qualifications - 5+ years of professional software engineering experience building and scaling complex platforms or distributed systems - Strong proficiency in Python, including designing, developing, and debugging production-grade services - Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements - Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals - Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions - Excellent collaboration and communication skills with a strong sense of ownership and accountability Requirements - BS or MS in Computer Science, Software Engineering, or a related field - Open source contributions related to GenAI, distributed systems, or data orchestration - Experience with cloud networking (DNS, VPC configuration, infrastructure security) - Strong quantitative background (math, physics, ML, or related fields) - Experience using GenAI tools to augment development workflows - Familiarity with enterprise software development lifecycles from architecture through post-deployment support Benefits - Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology. - Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need. - Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation. - High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape. - Competitive Compensation & Equity: Own a piece of our high-potential, well-funded startup. - Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support. How to Apply Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai . Include GitHub (or equivalent) code samples, a system design you’re proud of, and any evaluation or benchmark work that demonstrates your technical rigor. P.S. If you use GenAI to craft your application, we’ll probably find out — and we’d love to learn more about how you did it! Compensation This role offers a base salary between $150,000 and $250,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Join Vor Systems as our first dedicated AI hire to build the reasoning layer for utility-scale energy projects. You will automate complex regulatory and financial workflows, processing messy real-world data to accelerate clean energy deployment. This is a high-impact, founding role working directly with a proven leadership team from DoorDash, Meta, and Amazon. - Design and build core agentic workflows that plan, execute, and verify multi-step regulatory and financial analyses for energy infrastructure. - Develop document intelligence pipelines on Modal to process multimodal inputs, including engineering schematics, site plans, and complex legal leases. - Implement rigorous validation and evaluation frameworks to ensure LLM outputs meet the high correctness standards required for infrastructure data. Qualifications - Proven experience shipping production LLM-powered systems, with deep knowledge of retrieval, tool use, and context construction within larger platforms. - Highly proficient in Python and comfortable working with async or GPU-backed systems such as Modal, vLLM, or custom agent orchestration frameworks. - Exceptional at handling messy, real-world data from legal and financial domains while maintaining a strong focus on system reliability and observability. Company Description - Vor Systems – Gigascale Capital-backed energy AI startup